معرفی
Dr. Giovanni Capurso is an Associate Professor in the Polytechnic Department of Engineering and Architecture at the University of Udine, Italy. He is affiliated with the Department of Materials Science and Technology, where his research focuses on advanced materials for energy and industrial applications. His work is centered on hydrogen storage, metal hydrides, and functional coatings, contributing to sustainable industrial manufacturing and energy technologies.
His research interests span Materials Science, Hydrogen Storage, Energy Storage, Metal Hydrides, Corrosion Science, and Organic Coatings. He employs advanced characterization techniques such as in-situ neutron diffraction and develops kinetic models for reactive hydride composites. His work bridges fundamental materials behavior with practical engineering applications in high-pressure storage and protective coatings.
The recent publication trend highlights a strong focus on hydrogen storage materials, particularly lithium-based and titanium-manganese hydrides, as well as the durability of polymer and composite coatings under industrial conditions. His interdisciplinary research integrates chemical engineering, solid-state physics, and materials design for clean energy systems.
Dr. Capurso has not been publicly listed with any scientific awards or fellowships in the provided text.
He actively collaborates with researchers across Europe, including Alfredo Rondinella, Claudio Pistidda, and Marcello Baricco. His publications suggest involvement in funded research projects related to hydrogen energy and advanced materials, though specific grants are not detailed. He contributes to teaching courses such as Materials for Sustainable Industrial Manufacturing Processes and Laboratory of Building Materials Technologies.
He is associated with the Materials and Surface Engineering Laboratory at the University of Udine, where experimental and analytical work on coatings and hydride materials is conducted. His team engages in both experimental characterization and computational modeling of material behavior under operational conditions.
